The exposure, sensitivity and vulnerability of natural vegetation in China to climate thermal variability (1901-2013): An indicator-based approach

被引:29
作者
Xu, Yue [1 ]
Shen, Ze-Hao [1 ]
Ying, Ling-Xiao [1 ]
Ciais, Philippe [2 ]
Liu, Hong-Yan [1 ]
Piao, Shi-long [1 ]
Wen, Cheng [3 ]
Jiang, You-Xu [4 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, MOE Key Lab Earth Surface Proc, Dept Ecol, Beijing 100871, Peoples R China
[2] CE LOrme Merisiers, UMR CEA CNRS UVSQ, Lab Sci Climat & Environm, Batiment 709, F-91191 Gif Sur Yvette, France
[3] Peking Univ, Sch Life Sci, Beijing 100871, Peoples R China
[4] Chinese Acad Forestry, Inst Forest Ecol Environm & Protect, Beijing 100093, Peoples R China
基金
中国国家自然科学基金;
关键词
Thermal variability; Vegetation; Vulnerability; Exposure; Sensitivity; Resilience; LAND-USE; BIODIVERSITY CONSERVATION; COMMUNITY RESILIENCE; PLANT-COMMUNITIES; PROTECTED AREAS; CHANGE IMPACTS; ECOSYSTEM; DIVERSITY; RESISTANCE; FRAMEWORK;
D O I
10.1016/j.ecolind.2015.12.023
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Vulnerability assessments can be helpful in assessing the impact of climate change on natural ecosystems and are expected to support adaptation and/or mitigation strategies in the 21st century. A challenge when conducting such assessments is the integration of the multi-level properties and processes of ecosystems into an assessment framework. Focusing on the primary stresses of climate thermal variability (at both upper and lower extremes), this study proposes a quantitative indicator system following the IPCC framework of vulnerability assessment that assesses the impact of historical climate change, during 1901-2013, on the natural terrestrial vegetation types in China. The final output of the vulnerability assessment was expressed as a composite index, composed of ecosystem exposure, sensitivity and resilience to climate thermal change, and including biological, ecological and spatial traits of vegetation types in the assessment. The exposure to temperature variability was generally higher in January than in July, and higher in non-arborous vegetation types than forests. In contrast, sensitivity was higher for forests, wetlands and alpine tundra regions, especially for small areas and areas with scattered patterns. Original forests especially those distributed in the north had lower resilience than other vegetation types. The vulnerability of natural vegetation types in China to the temperature variability of the past century was very low to moderate, with a few exceptions, including tropical mangroves and the semiarid to arid vegetation types in northwestern China, which had high vulnerability. Vulnerability was stronger in winter than in summer. Our results are generally in accord with the scenario-based projections on the geographical pattern of vegetation vulnerability to climate change, and revealed the difference caused by not considering moisture. The risks for these fragmented and narrow-range ecosystems are highlighted, and the importance of natural resilience is stressed for the assessment of vegetation vulnerability to climate change. Given the inadequate coverage of the natural reserve network in China (after the large investment in recent decades) found in the high-vulnerability vegetation types (with a few exceptions), the assessment of natural resilience of ecosystems could be critical for the optimal design of socio-economic strategies in response to the impacts of future climate change. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:258 / 272
页数:15
相关论文
共 79 条
[1]  
[Anonymous], 2009, TECHNICAL SERIES
[2]  
[Anonymous], 2007, CLIMATE CHANGE 2007
[3]  
[Anonymous], 2014, Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
[4]   Modeling vulnerability and resilience to climate change: A case study of India and Indian states [J].
Brenkert, AL ;
Malone, EL .
CLIMATIC CHANGE, 2005, 72 (1-2) :57-102
[5]   Global biodiversity conservation priorities [J].
Brooks, T. M. ;
Mittermeier, R. A. ;
da Fonseca, G. A. B. ;
Gerlach, J. ;
Hoffmann, M. ;
Lamoreux, J. F. ;
Mittermeier, C. G. ;
Pilgrim, J. D. ;
Rodrigues, A. S. L. .
SCIENCE, 2006, 313 (5783) :58-61
[6]   Vulnerability to multidimensional poverty: Peru, 1998-2002 [J].
Calvo, Cesar .
WORLD DEVELOPMENT, 2008, 36 (06) :1011-1020
[7]  
Chen G., 2006, ENV MODELING SIMULAT, P56
[8]   Global convergence in the vulnerability of forests to drought [J].
Choat, Brendan ;
Jansen, Steven ;
Brodribb, Tim J. ;
Cochard, Herve ;
Delzon, Sylvain ;
Bhaskar, Radika ;
Bucci, Sandra J. ;
Feild, Taylor S. ;
Gleason, Sean M. ;
Hacke, Uwe G. ;
Jacobsen, Anna L. ;
Lens, Frederic ;
Maherali, Hafiz ;
Martinez-Vilalta, Jordi ;
Mayr, Stefan ;
Mencuccini, Maurizio ;
Mitchell, Patrick J. ;
Nardini, Andrea ;
Pittermann, Jarmila ;
Pratt, R. Brandon ;
Sperry, John S. ;
Westoby, Mark ;
Wright, Ian J. ;
Zanne, Amy E. .
NATURE, 2012, 491 (7426) :752-+
[10]  
Dawson TP, 2011, SCIENCE, V332, P664